Publications by authors named "Barbara Geppert"

Article Synopsis
  • - The study aimed to explore the frequency of non-mapped isolated metastatic pelvic lymph nodes in specific anatomical sites for women with endometrial cancer eligible for robotic surgery.
  • - From June 2019 to January 2024, 620 women were examined, finding that 29% (180 women) had no mapping in key areas, and 4.3% of node-positive women had isolated metastases in these uncharted lymph nodes.
  • - The conclusion emphasized that to prevent missed nodal metastases, lymph nodes should be surgically removed from key anatomical areas even if mapping is not achieved in those regions.
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Aim Of The Study: To assess the association of prevalence and size of pelvic sentinel node (SLN) metastases with risk factors in endometrial cancer (EC).

Patients And Methods: Between June 2014 and January 2024 consecutive women with a uterine confined EC undergoing robotic surgery including detection of pelvic SLNs at a University Hospital were included. An anatomically based algorithm utilizing Indocyanine green (ICG) as tracer was adhered to.

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Objective: A single center prospective non-randomized study to assess a systematically developed anatomically-based sentinel lymph node (SLN) algorithm in cervical cancer.

Methods: Consecutive women with FIGO 2009 stage 1A2-2A1 cervical cancer undergoing robotic radical hysterectomy/trachelectomy between September 2014 and January 2023 had cervically injected Indocyanine Green (ICG) as a tracer for detection of pelvic SLN. An anatomically based surgical algorithm was adhered to; defining SLNs as the juxtauterine mapped nodes within the upper and lower paracervical lymphatic pathways including separate removal of the parauterine lymphovascular tissue (PULT).

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Aim: To evaluate the locations of metastatic pelvic sentinel nodes (SLN) and the proportion of SLNs outside and within defined typical anatomical positions along the upper paracervical lymphatic pathway (UPP).

Patients And Methods: Consecutive women with endometrial cancer (EC) of all risk groups underwent pelvic SLN-detection using cervically injected indocyanine green (ICG). A strict anatomically based algorithm and definitions of SLNs was adhered to.

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Objective: Comparing the anatomical distribution of metastatic and non-metastatic pelvic sentinel lymph nodes (SLN) in cervical and endometrial cancer.

Methods: Detailed SLN mapping results were prospectively retrieved in cervical (n = 145) or high-risk endometrial cancer (n = 201) patients undergoing a robotic staging procedure. Cervically injected Indocyanine Green (ICG), allowing for reinjection in case of inadequate mapping, was used as tracer.

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Objective: To investigate the prevalence of lymph nodes and lymph node metastases (LNMs) in the upper paracervical lymphovascular tissue (UPLT) in early stage cervical cancer.

Methods: In this prospective study consecutive women with stage IA1-IB1 cervical cancer underwent a pelvic lymphadenectomy including identification of sentinel nodes (SLNs) as part of a nodal staging procedure in conjunction with a robotic radical hysterectomy (RRH) or robotic radical trachelectomy (RRT). Indocyanine green (ICG) was used as tracer.

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Objective: To achieve the full potential of sentinel lymph node (SLN) detection in endometrial cancer, both presumed low- and high-risk groups should be included. Perioperative resource use and complications should be minimized. Knowledge on distribution and common anatomical sites for metastatic SLNs may contribute to optimizing the concept while maintaining sensitivity.

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Objective: To investigate whether combining two independent tracers increases the SLN-detection rate in cervical cancer.

Methods: Consecutive women with early stage cervical cancer planned for a robotic radical hysterectomy or a robotic radical trachelectomy with sentinel lymph node (SLN) detection were included. After cervical injections of Indocyanine green (ICG) and Tc-nanocolloid (Tc), near-infrared fluorescence imaging and a gamma probe were used to identify SLNs in the upper and lower paracervical pathways (UPP/LPP).

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Study Aims: To prospectively assess the diagnostic accuracy of a pelvic sentinel lymph node (SLN) algorithm in high-risk endometrial cancer (HREC).

Patients And Methods: Consecutive women with presumed FIGO stage I-II HREC underwent robotic surgery at two academic centres by five accredited surgeons. An anatomically based algorithm was adhered to, following cervical injection of indocyanine green (ICG), with reinjection of tracer in case of non-display of predefined lymphatic pathways.

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Objective: To compare the rate of lymphatic complications in women with endometrial cancer undergoing sentinel lymph node biopsy versus a full pelvic and infrarenal paraaortic lymphadenectomy, and to examine the overall feasibility and safety of the former.

Methods: A prospective study of 188 patients with endometrial cancer planned for robotic surgery. Indocyanine green was used to identify the sentinel lymph nodes.

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Objective: To describe and evaluate a reproducible, anatomically based surgical algorithm, including reinjection of tracer to enhance technical success rate, for detection of pelvic sentinel lymph nodes (SLNs) in endometrial cancer (EC).

Methods: A prospective study of 102 consecutive women with high risk EC scheduled for robotic surgery was conducted. Following cervical injection of a fluorescent dye, an algorithm for trans- and retroperitoneal identification of tracer display in the lower and upper paracervical pathways was strictly adhered to.

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Objective: To describe the anatomy of uterine lymphatic drainage following cervical or fundal tracer injection to enable standardization of a pelvic sentinel lymph node (SLN) concept in endometrial cancer (EC).

Methods: A prospective consecutive study of women with EC was conducted. A fluorescent dye (Indocyanine green) was injected into the cervix (n=60) or the uterine fundus (n=30).

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The study objective was to assess the effect of increased experience on complications in robotic hysterectomy for malignant and benign gynecological disease. This is a retrospective cohort study. It is a Canadian Task Force classification II-2 study conducted at the University Hospital, Sweden.

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Introduction: This study was designed to evaluate the feasibility and lymphatic complications of robotic pelvic and infrarenal paraaortic lymphadenectomy in endometrial cancer patients.

Material And Methods: All patients diagnosed with high risk endometrial cancer during the study period were identified (n = 212). Clinical prospective data, with reassessment of lymphatic complications, was analysed for all cases (n = 140) planned for a complete robotic nodal staging.

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Objective: Comparison of surgical results on obese patients undergoing hysterectomy by robot-assisted laparoscopy or laparotomy.

Setting: University hospital.

Methods: All women (n=114) with a BMI ≥30 kg/m(2) who underwent a simple hysterectomy as the main surgical procedure between November 2005 and November 2009 were identified.

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Number processing recruits a complex network of multiple numerical representations. Usually the components of this network are examined in a between-task approach with the disadvantage of relying upon different instructions, tasks, and inhomogeneous stimulus sets across different studies. A within-task approach may avoid these disadvantages and access involved numerical representations more specifically.

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The number bisection task--in which the numerical middle of two other numbers has to be determined (e.g., 6 is the numerical middle of 4 and 8)--has recently been used in neuropsychological case studies in addition to the number comparison task to assess quantitative capabilities in number processing.

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